نتایج جستجو برای: multiple linear regression models

تعداد نتایج: 2130516  

Journal: :JCP 2011
Guoli Wang Jianhui Wu Jianhua Wu Xiaohong Wang

Both linear neural network and multiple linear regression models can be used for multi-factor analysis and forecasting, but the data of the multiple linear regression model are required to meet such conditions as independence and normality, while the data of the linear neural network are only required to have a linear relationship. This article uses the same set of data to establish respectivel...

A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...

2003
Jianhua Z. Huang JIANHUA Z. HUANG

Extended linear modeling provides a flexible framework for functional estimation problems with multiple covariates. Such problems include ordinary and generalized regression, density and conditional density estimation, hazard regression, spectral density estimation and polychotomous regression. In this paper, we develop a general theory on the rate of convergence of maximum likelihood estimatio...

Soil erosion by water and wind processes are carried out widely. So one of the best ways to estimate soil loss and land degradation is regional erodibility model. The aim of this research is codification regional erodibility model by statistical methods, the relation survey in Khoor and Biabanak between physical properties of soils and remote sensing indices. Sampling Method field was linear tr...

H. Mahmoudzadeh, M. Babaei , M. R. Ahmadi , M. Shamsaei Mehrjand ,

 During the early stages of white fish, survival rate is a very effective parameter on future fry’s sustainability, especially when they are going to be released into the natural habitat for restocking. The aim of this study is to define relationships between morphological and functional traits and the survival rate of the European white fish fry (Coregonus lavaretus) when they were fed with di...

ژورنال: علوم آب و خاک 2012
روح اله رضایی ارشد, , علیرضا جعفرنژادی, , غلامعباس صیاد, , مسعود مظلوم, , مهدی شرفا, ,

Direct measurement of soil hydraulic characteristics is costly and time-consuming. Also, the method is partly unreliable due to soil heterogeneity and laboratory errors. Instead, soil hydraulic characteristics can be predicted using readily available data such as soil texture and bulk density using pedotransfer functions (PTFs). Artificial neural networks (ANNs) and statistical regression are t...

One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of development requirement prediction of software system. Various kinds of effort estimation patter...

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In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. For this purpose used of monthly groundwater levels for modeling in the three observed wells located in the Sharif Abad watershed of Qom. To compare the results of the hybrid model of wavelet analysis-neural network (WNN), genetic programming (GP) multiple linear regression (MLR)...

Predictive quantitative structure–activity relationship was performed on the novel 4-oxo-1,4-dihydroquinoline and 4-oxo-4H-pyrido[1,2-a]pyrimidine derivatives to explore relationship between the structure of synthesized compounds and their anti-HIV-1 activities. In this way, the suitable set of the molecular descriptors was calculated and the important descriptors using the variable selections ...

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